Research Methods
- Created by: Daniel_Waghorne
- Created on: 10-11-15 18:09
Lab Experiments
Features:
- An IV manipulated by the researcher in an attempt to produce a change in the DV.
- High Control
- Conducted in an artifical environment
Strengths
- Extraneous variables can be controlled - Know the cause of the change in th DV
- Greater control allows ability to replicate study thus ensures reliability
Weaknesses
- Lacks ecological validity due to artifical environment
- Higher risk of demand characteristics
- May raise ethical issues of deception
- Total control of all variables not possible
- Results more likely to be biased by sampling
Field Experiments
Features
- IV is manipulated
- Carried out in participant's natural environment
Strengths
- Carried out in natural environment - greater ecological validity
- Less bias from sampling, demand characterics etc
Weaknesses
- More difficult to control all variables - may not be able to infer cause & effect
- More difficult to replicate - may not be reliable
- Ethical problems e.g. privacy, fully informed consent etc
Quasi Experiments
Features
- IV naturally exists e.g. age, gender etc
- Mainly conducted in an artifical environment
Strengths
- As the condition already varies it allows comparison between different types of people
Weaknesses
- Hard to infer cause & effect as IV has not been directly manipulated
- Random allocation to conditions is not possible - may cause confounding variables, may affect the internal validity
- As they are often conducted in an artifical environment they have the same weaknesses as lab experiments
Natural Experiments
Features
- IV is changed through natural occurrence
- Conducted in natural environment
Strengths
- High ecological validity
- Little bias & demand characteristics
Weaknesses
- Hard to infer cause & effect due to little control
- Very difficult to replicate
- Ethical Issues e.g. privacy, consent etc
Correlational Analysis
Measures the relationship between two co-variables.
Postive Correlation: Whilst one variable increases so does the other
Negative Correlation: Whilst one variable increases the other decreases
Correlation coefficient: A number that shows the strength of the correlation, this is between -1 and +1
+1 = Perfect postive correlation
0 = No correlation
-1 = Perfect negative correlative
A scattergraph is used to show the correlation
Observations
Naturalistic Observation: Refers to the observation of behaviour in its natural setting - the reseracher makes no attempt to interfere with the behaviour
Controlled Observation: Some variables in the environment are controlled by the researcher
Overt: Aware of being observed
Covert: Unaware of being observed
Participant: Observer is part of the group being observed
Non-Partipiant: Observer watching/listening to the behaviour of others
Observations - Evaluation 1
In General
- Tests existing findings
- Meanings - can describe behaviour but are unlikely to tell us why
- Observer Bias
- Can be used in situations where it would be unethical to manipulate variables
Naturalistic observations
- Realism
- Lack of control
Controlled observations
- Lack of realism
- High control
Observations - Evaluation 2
Covert observations
- Low demand characteristics and observer effects
- Ethical Issues - lack of informed consent
Overt observations
- Risk of demand characteristics and observer effects
- Lack of ethical issues
Participant observations
- Greater insights into behaviour
- Objectivity of the observations are effected by being part of the group/situation
Non-Participant observations
- Lack of direct involvement
- Data lacks the richness
Questionnaires
Closed questions: Questions where the participant gets a range of answers selected by the researcher
Open questions: Questions where the participants are not restricted by a range of answers and can expand on their answers
Strengths
- Cheap & Quick
- Wide range of data - Quantitative and Qualitative
- Ease of analysis
Weaknesses
- Social Desirability Bias
- Researcher Effects
- Difficult to control
- Different interpretations of questions
Questionnaire Design
Questions to avoid:
- Leading questions
- Ambiguous questions
- Emotive questions
- Double-barelled questions
- Jargon
- Negatives
- Complex questions
- Impossible questions
Questions should try to include
- Filler questions
- Easy questions
- Lie detection questions
- A balance of yes/no responses - Tendency to answer Yes
Research Designs - Repeated Group Design
Repeated Group Design: Participants are used in both conditions
Strengths
- Participant Variables are kept constant
- More powerful statistics are used
- Fewer participants are needed
Weaknesses
- Order effects - can be avoided by counterbalancing
- Demand Characteristics
Research Designs - Individual Group Design
Individual Group Design: Different participants used in each condition
Strengths
- Order effects do not occur
- Demand characteristics less of a problem
- The same test can be used in each condition
Weaknesses
- Participant variables are different - confounding variables
- Less powerful statistical tests
- More participants are required
Research Designs - Matched Pairs Design
Matched Pairs Design: Different but similar participants are used in each condition
Strengths
- Participant variables kept constant
- No order effects
- Less Demand Characteristics
- The same test can be used
- More powerful statistical tests
Weaknesses
- Participant variables can never be matched in all aspects
- Matching participants is time consuming and difficult
- More participants are required
Sampling 1
Random: Every member of target pop. has an equal chance of being selected
- Provides the best chance of an unbiased representative sample
- Compiling a list of everyone in the target pop. is impractical - time consuming, expensive
Stratified: Dividing the target pop. into important subcategories and then selects members of the categories in the correct proportions
- A deliberate effort is made to identify the characteristics of a sample for it to be representative
- It can be difficult to identify important characteristics & very time consuming
Opportunity: Selecting participants that are available at the time
- It is quick, convenient and economical compared to the other methods
- Unrepresentative and often biased on the part of the researcher to pick helpful participants
Sampling 2
Volunteer:Individuals who have determined their involvement in a study
- Convenient and if volunteering is made in terms of informed consent then it is ethical
- Unrepresentative samples - each volunteer is different
Systematic: A sample obtained by selecting every nth person on a list. The numerical interval is to be applied consistently.
- Unbiased as Ps are selected by an objective system
- Not truly unbiased/random unless number is selected through random method
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